# A first lambda function with C++11 and Rcpp

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Yesterday’s post started to explore the nice additions which the new C++11 standard is bringing to the language. One particularly interesting feature are *lambda functions* which resemble the anonymous functions R programmers have enjoyed all along. This shows a simple example.

First, we again make sure the compiler knows that we want C++11:

Sys.setenv("PKG_CXXFLAGS"="-std=c++11")

We will revisit an earlier example on `stl::transform`

but use a lamba function

#includeusing namespace Rcpp; // [[Rcpp::export]] std::vector transformEx(const std::vector & x) { std::vector y(x.size()); std::transform(x.begin(), x.end(), y.begin(), [](double x) { return x*x; } ); return y; }

In this example, the function being swept over all elements of `x`

does not have to be declared as a separate function as we did here but can be defined *inline* as we would in R. The return type is deduced automatically, similar to the use auto `auto`

in the previous C++11 example. We can run the example:

x <- c(1,2,3,4) transformEx(x) [1] 1 4 9 16

Unsurprisingly, the result is the same. We can also retake the second example from the previous post:

#includeusing namespace Rcpp; // [[Rcpp::export]] NumericVector transformEx2(NumericVector x, NumericVector y) { NumericVector z(x.size()); std::transform(x.begin(), x.end(), y.begin(), z.begin(), [](double x, double y) { return sqrt(x*x + y*y); } ); return z; }

It also matches the previous result.

x <- c(1,2,3,4) y <- c(2,2,3,3) transformEx2(x,y) [1] 2.236 2.828 4.243 5.000

Once again, we need to remind the reader that this still requires setting the `-std=c++11`

option for `g++`

, and that CRAN will not allow this in uploads, at least not yet. In the meantime, C++11 can of course be used for non-CRAN projects.

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